Artificial Intelligence is the use of computers to mimic human thinking. This term is often a buzzword, so it can be hard to define and understand. But artificial intelligence is a broad term that can be used to describe everything from a computer’s ability to play chess to self-driving cars. The truth is that artificial intelligence is a complex field and it’s constantly growing. This article will provide an overview of what artificial intelligence is, what it can do, and how it could impact our future.
Where do we start?
Artificial intelligence is the intelligence of machines and software in the form of software agents and intelligent machines. It is an umbrella term for a set of technologies that encompasses the theory and practice of making intelligent machines, or more specifically computer software that perceives its environment and takes actions which maximize its chance of achieving its goals.
How does Artificial Intelligence work?
Artificial Intelligence is a type of intelligence that a machine uses to complete tasks that would otherwise require human intelligence. The term is most commonly used to refer to computers or software that can complete tasks that would normally require human intelligence. In order to achieve this, the machine uses algorithms as well as pattern recognition.
What are some applications of Artificial Intelligence?
As Artificial intelligence evolves it wl be systematically replacing jobs and all forms of mainstream labour that require human intelligence from the white collar office to construction workers. AI can be used to improve business processes, make scientific discoveries, or help with medical diagnoses. It is a recent development in computer science and is still a controversial topic that is expanding over time.
This article is an introduction to artificial intelligence and some of the applications of the technology used in the field of AI. If you are interested in learning more about artificial intelligence, I recommend you visit the MIT website for the latest developments in the field.